My ICASSP 2020 Schedule

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TH1.I: Learning Methods

Session Type: Poster

Time: Thursday, 7 May, 09:00 - 11:00

Location: On-Demand

Session Chairs: Ercan Kuruoglu, Tsinghua-Berkeley Shenzhen Institute and Fedorov Igor, ARM

TH1.I.1: LEARNING DIVERSE SUB-POLICIES VIA A TASK-AGNOSTIC REGULARIZATION ON ACTION DISTRIBUTIONS.

Liangyu Huo; Beihang University

Zulin Wang; Beihang University

Mai Xu; Beihang University

Yuhang Song; University of Oxford

TH1.I.2: FEDERATED LEARNING WITH MUTUALLY COOPERATING DEVICES: A CONSENSUS APPROACH TOWARDS SERVER-LESS MODEL OPTIMIZATION

Stefano Savazzi; Consiglio Nazionale delle Ricerche CNR-IEIIT

Monica Nicoli; Politecnico di Milano

Vittorio Rampa; Consiglio Nazionale delle Ricerche CNR-IEIIT

Sanaz Kianoush; Consiglio Nazionale delle Ricerche CNR-IEIIT

TH1.I.3: NO-REGRET NON-CONVEX ONLINE META-LEARNING

Zhenxun Zhuang; Boston University

Yunlong Wang; IQVIA Inc.

Kezi Yu; IQVIA Inc.

Songtao Lu; IBM

TH1.I.4: ASYNCHROUNOUS DECENTRALIZED LEARNING OF A NEURAL NETWORK

Xinyue Liang; KTH Royal Institute of Technology

Alireza M. Javid; KTH Royal Institute of Technology

Mikael Skoglund; KTH Royal Institute of Technology

Saikat Chatterjee; KTH Royal Institute of Technology

TH1.I.5: LEARNING PERCEPTION AND PLANNING WITH DEEP ACTIVE INFERENCE

Ozan Çatal; Ghent University - imec

Tim Verbelen; Ghent University - imec

Johannes Nauta; Ghent University - imec

Cedric De Boom; Ghent University - imec

Bart Dhoedt; Ghent University - imec

TH1.I.6: PROJECTION FREE DYNAMIC ONLINE LEARNING

Deepak Singh Kalhan; Indian Institute of Technology Kanpur

Amrit Singh Bedi; U.S. Army Research Laboratory

Alec Koppel; U.S. Army Research Laboratory

Ketan Rajawat; Indian Institute of Technology Kanpur

Abhishek Kumar Gupta; Indian Institute of Technology Kanpur

Adrish Banerjee; Indian Institute of Technology Kanpur

TH1.I.7: LEARNING PARTIAL DIFFERENTIAL EQUATIONS FROM DATA USING NEURAL NETWORKS

Ali Hasan; Duke University

João M. Pereira; Duke University

Robert Ravier; Duke University

Sina Farsiu; Duke University

Vahid Tarokh; Duke University

TH1.I.8: ACTIVE LEARNING WITH UNSUPERVISED ENSEMBLES OF CLASSIFIERS

Panagiotis Traganitis; University of Minnesota

Dimitrios Berberidis; Carnegie Mellon University

Georgios B. Giannakis; University of Minnesota

TH1.I.9: NASIL : NEURAL ARCHITECTURE SEARCH WITH IMITATION LEARNING

Farzaneh S. Fard; Fluent.ai

Arash Rad; Fluent.ai

Vikrant Singh Tomar; Fluent.ai

TH1.I.10: MULTI-VIEW CLUSTERING VIA MIXED EMBEDDING APPROXIMATION

Danyang Wu; Northwestern Polytechnical University

Feiping Nie; Northwestern Polytechnical University

Rong Wang; Northwestern Polytechnical University

Xuelong Li; Northwestern Polytechnical University

TH1.I.11: SIGNAL CLUSTERING WITH CLASS-INDEPENDENT SEGMENTATION

Stefano Gasperini; Technische Universität München

Magdalini Paschali; Technische Universität München

Carsten Hopke; Airbus Defence and Space GmbH

David Wittmann; Airbus Defence and Space GmbH

Nassir Navab; Technische Universität München